code: def __iter__(self):
      for i in range(self._examples / self._batchsize):
          yield self._data[
              (i * self._batchsize) : ((i + 1) * self._batchsize),
              : self._features,
          ]
  
file_path: tfdeploy/tests/perf/measure_runtimes.py
imports: import os
  import time
  import json
  import uuid
  import itertools
  import collections
  import numpy
  import tensorflow
  import tfdeploy
label_desc: Use image node_id 3 for calling the Data obj's underlying member method code with example usage: obj.__iter__() without return types